R_basic3
York Lin
2019年01月29日
p90 example
match_func = function(filename){
match = read.table(filename, sep= "|")
mat = matrix(rep(-1,5^2), nrow=5)
rownames(mat) = c("A","B","C","D","E")
colnames(mat) = c("A","B","C","D","E")
for (i in 1:nrow(match)){
mat[match[i,1], match[i,2]] = match[i,3];
}
return(mat)
}
match_func('~/lecture/riii/data/match.txt')## A B C D E
## A -1 1 3 2 0
## B 2 -1 1 3 0
## C 2 0 -1 1 5
## D 1 1 2 -1 0
## E 1 1 2 3 -1#general case
match_func = function(filename,header=T,sep='|'){
t = read.table(filename,header=header,sep = sep);
mat = matrix(-1,
nrow = length(levels(t[,1])),
ncol = length(levels(t[,2])),
dimnames = list( levels(t[,1]), levels(t[,2] ) ));
for(i in 1:nrow(t)){
mat[t[i,1], t[i,2]] = t[i,3];
}
return(mat)
}
match_func('~/lecture/riii/data/match.txt',F)## A B C D E
## A -1 1 3 2 0
## B 2 -1 1 3 0
## C 2 0 -1 1 5
## D 1 1 2 -1 0
## E 1 1 2 3 -1統計圖
load('~/lecture/riii/Statistics/cdc.Rdata')
str(cdc)## 'data.frame': 20000 obs. of 9 variables:
## $ genhlth : Factor w/ 5 levels "excellent","very good",..: 3 3 3 3 2 2 2 2 3 3 ...
## $ exerany : num 0 0 1 1 0 1 1 0 0 1 ...
## $ hlthplan: num 1 1 1 1 1 1 1 1 1 1 ...
## $ smoke100: num 0 1 1 0 0 0 0 0 1 0 ...
## $ height : num 70 64 60 66 61 64 71 67 65 70 ...
## $ weight : int 175 125 105 132 150 114 194 170 150 180 ...
## $ wtdesire: int 175 115 105 124 130 114 185 160 130 170 ...
## $ age : int 77 33 49 42 55 55 31 45 27 44 ...
## $ gender : Factor w/ 2 levels "m","f": 1 2 2 2 2 2 1 1 2 1 ...cdc$exerany = as.factor(cdc$exerany)
cdc$hlthplan = as.factor(cdc$hlthplan)
cdc$smoke100 = as.factor(cdc$smoke100)
#屬貭資料: 長條圖、圓餅圖
barplot(table(cdc$smoke100))
?barplot
barplot(table(cdc$smoke100),xlab='有無吸菸',ylab='人數',main='title',col='blue',family="Songti SC")
pie(table(cdc$smoke100))
pie(table(cdc$genhlth))
pie(table(cdc$genhlth),col = rainbow(5))
#加上各分類比例
pct = round(table(cdc$genhlth) / length(cdc$genhlth) *100,1)
labels = paste(names(pct),pct,"%")
pie(table(cdc$genhlth), labels = labels)
gender_smokers = table(cdc$gender,cdc$smoke100)
mosaicplot(gender_smokers)
#屬量資料: 直方圖、盒鬚圖、莖葉圖
hist(cdc$age)
par(mfrow=c(3,1))
hist(cdc$height)
hist(cdc$height,breaks = 30)
hist(cdc$height,breaks = 50)
stem(cdc$age)##
## The decimal point is 1 digit(s) to the right of the |
##
## 1 | 88888888888888888888888888888888888888888888888888888888888888888888+509
## 2 | 00000000000000000000000000000000000000000000000000000000000000000000+1694
## 2 | 55555555555555555555555555555555555555555555555555555555555555555555+1835
## 3 | 00000000000000000000000000000000000000000000000000000000000000000000+1954
## 3 | 55555555555555555555555555555555555555555555555555555555555555555555+2154
## 4 | 00000000000000000000000000000000000000000000000000000000000000000000+2109
## 4 | 55555555555555555555555555555555555555555555555555555555555555555555+1842
## 5 | 00000000000000000000000000000000000000000000000000000000000000000000+1578
## 5 | 55555555555555555555555555555555555555555555555555555555555555555555+1224
## 6 | 00000000000000000000000000000000000000000000000000000000000000000000+969
## 6 | 55555555555555555555555555555555555555555555555555555555555555555555+975
## 7 | 00000000000000000000000000000000000000000000000000000000000000000000+889
## 7 | 55555555555555555555555555555555555555555555555555555555555555555555+614
## 8 | 00000000000000000000000000000000000000000000000000000000000000000000+344
## 8 | 55555555555555555555555555555555555555555555555555555555566666666666+69
## 9 | 00000000011111111112222223333333444
## 9 | 556799tmp=sample(cdc$age,100)
stem(sample(cdc$age,100))##
## The decimal point is 1 digit(s) to the right of the |
##
## 1 | 899999
## 2 | 11113466789999
## 3 | 011223333446777777888999
## 4 | 00000112223344556899
## 5 | 0002234789999
## 6 | 00004466778
## 7 | 0055889
## 8 | 00346?stem
stem(sample(cdc$age,100),scale=2)##
## The decimal point is 1 digit(s) to the right of the |
##
## 1 | 88889
## 2 | 0012223344
## 2 | 566667888899
## 3 | 0001222223444
## 3 | 77778889
## 4 | 00112334
## 4 | 67
## 5 | 133
## 5 | 5577788
## 6 | 00034
## 6 | 5555566777899
## 7 | 0014444
## 7 | 5568
## 8 | 13
## 8 | 8par(mfrow=c(1,1))
boxplot(cdc$weight)
boxplot(cdc$weight, horizontal=TRUE)
boxplot(cdc$weight ~ cdc$gender)
boxplot(cdc$height ~ cdc$gender)
bmi = (cdc$weight/cdc$height^2) * 703
boxplot(bmi ~ cdc$genhlth)
#觀察兩組資料間關係:點散布圖
plot(cdc$weight, cdc$height)
plot(cdc$weight, cdc$wtdesire)
plot(cdc[,c('height','weight','age')])
png(filename='test123.png')
plot(cdc$weight, cdc$height)
dev.off()## quartz_off_screen
## 2plot type
x <- 1:6
y <- x
par(mfrow=c(2,4))
types <- c('p','l', 'o', 'b', 'c', 's', 'h', 'n')
for(t in types){
#print(t)
title <- paste('type:', t)
plot(x,y, type = t, main = title)
}
package:ggplot2
documentation
why ggplot2?
- fancy by default, good for demo and report
- consistent across all kinds of plot in syntax and behavior
- strong support community(the mostly download package on CRAN)
#basic syntax
#ggplot(data,aes(x,y,group,...))+geom_object(...)
#install.packages('ggplot2')
library('ggplot2')
g <- ggplot(cdc,aes(x=height,y=weight))
g+geom_point()
g <- ggplot(cdc,aes(x=height,y=weight,col=gender))
g+geom_point()
g <- ggplot(cdc,aes(x=height,y=weight))
g+geom_point(aes(col=gender))
g <- ggplot(cdc,aes(x=genhlth))
g+geom_bar()
g+geom_bar() + ylab('次數') + ggtitle('健康狀況長條圖')
#fill => 填滿顏色; color => 邊線顏色
g+geom_bar(fill='snow',color='black')
g+geom_bar(col='black',aes(fill=gender))
g+geom_bar(col='black',aes(fill=gender),position='stack')
g+geom_bar(col='black',aes(fill=gender),position='dodge')
g = ggplot(cdc,aes(x=gender))
g+geom_bar(aes(fill=genhlth),position='stack')
g+geom_bar(aes(fill=genhlth),position='dodge')
g+geom_bar(aes(fill=genhlth),position='fill')
g+geom_bar(aes(fill=genhlth),position='identity')
#facet
g <- ggplot(cdc,aes(x=weight))
g+ geom_histogram()+facet_wrap(~genhlth)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
g+ geom_histogram()+facet_grid(~genhlth)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
g+ geom_histogram()+facet_grid(gender~genhlth)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
g+ geom_histogram()+facet_grid(gender~genhlth)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#coordinate
g <- ggplot(cdc,aes(x=genhlth))
g+geom_bar()+coord_flip()
g+geom_bar()+coord_polar(theta = 'x')
g+geom_bar()+coord_polar(theta = 'y')
g+geom_bar(aes(fill=gender))+coord_polar(theta = 'y')
#pie chart
ggplot(cdc,aes(x=1,fill=genhlth)) + geom_bar() + coord_polar(theta = 'y')
#stat function
?geom_bar
precounted = as.data.frame(table(cdc$genhlth,dnn = c('genhlth')))
precounted## genhlth Freq
## 1 excellent 4657
## 2 very good 6972
## 3 good 5675
## 4 fair 2019
## 5 poor 677g2 = ggplot(precounted,aes(x=genhlth,y=Freq))+ geom_bar(stat='identity')
#save
ggsave(filename = './g2.jpg',plot=g2)## Saving 7 x 5 in imageggplot2 scale function example
g = ggplot(cdc,aes(x=weight))
g+geom_histogram()+scale_y_continuous(sec.axis = sec_axis(~.))## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
g = ggplot(cdc,aes(x=gender,fill=genhlth))
g+geom_bar()+scale_fill_hue(h=c(15,150))
資料預處理
把dt轉換成日期型態
#getwd()
setwd('~/lecture/riii')
# 以as.POSIXct()轉換
load('Statistics/appledaily.RData')
str(appledaily)## 'data.frame': 1500 obs. of 5 variables:
## $ content : chr "\n (更新:新增影片)想要透過刮刮樂彩券一夕致富，但他卻用錯方法！台中市一名"| __truncated__ "\n 澳洲一名就讀雪梨大學的華裔博士生，日前公開一段燒毀中國護照的影片，還"| __truncated__ "\n 【行銷專題企劃】房價高高在上，沒錢買房沒關係，但你認為自己是聰明的租"| __truncated__ "\n 本內容由中央廣播電臺提供 美國國防部長卡特(Ash Carter)今天(15日"| __truncated__ ...
## $ title : chr "【更新】搶2.2萬彩券刮中1.4萬 沒發財還得入獄" "拿到澳洲護照後 他放火燒中國護照" "【特企】房市大追擊- 租屋這些事情要小心" "【央廣RTI】美菲軍演 美防長南海登艦" ...
## $ dt : chr "2016年04月15日14:32" "2016年04月15日14:32" "2016年04月15日14:31" "2016年04月15日14:30" ...
## $ category: chr "社會" "國際" "地產" "國際" ...
## $ clicked : chr "人氣(1754)" "人氣(0)" "人氣(0)" "人氣(0)" ...head(appledaily$dt)## [1] "2016年04月15日14:32" "2016年04月15日14:32" "2016年04月15日14:31"
## [4] "2016年04月15日14:30" "2016年04月15日14:28" "2016年04月15日14:28"dt = as.POSIXct(appledaily$dt,format = '%Y年%m月%d日%H:%M')
appledaily$dt = dt
head(appledaily$dt)## [1] "2016-04-15 14:32:00 CST" "2016-04-15 14:32:00 CST"
## [3] "2016-04-15 14:31:00 CST" "2016-04-15 14:30:00 CST"
## [5] "2016-04-15 14:28:00 CST" "2016-04-15 14:28:00 CST"# Date 和 POSIX 差別
# Date類別表示 "日期", 表示距離1970/1/1多少天, 單位為天
# POSIX類別表示 "時間", 表示距離1970/1/1多少秒, 單位為秒
now = Sys.time()
class(now)## [1] "POSIXct" "POSIXt"unclass(now)## [1] 1548752520nowDate = as.Date(now)
class(nowDate)## [1] "Date"unclass(nowDate)## [1] 17925#比較as.POSIXct() 和 as.POSIXlt
t1 = as.POSIXct(appledaily$dt,format = '%Y年%m月%d日%H:%M')
class(t1)## [1] "POSIXct" "POSIXt"head(unclass(t1))## [1] 1460701920 1460701920 1460701860 1460701800 1460701680 1460701680t2 = as.POSIXlt(appledaily$dt,format = '%Y年%m月%d日%H:%M')
class(t2)## [1] "POSIXlt" "POSIXt"unclass(t2)## $sec
## [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [35] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [69] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [103] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [137] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [171] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [205] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [239] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [273] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [307] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [341] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [375] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [409] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [443] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [477] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [511] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [545] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [579] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [613] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [647] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [681] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [715] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [749] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [783] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [817] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [851] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [885] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [919] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [953] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [987] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1021] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1055] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1089] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1123] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1157] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1191] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1225] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1259] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1293] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1327] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1361] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1395] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1429] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1463] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1497] 0 0 0 0
##
## $min
## [1] 32 32 31 30 28 28 25 24 24 23 22 21 19 19 18 17 15 15 12 10 0 59 59
## [24] 54 54 52 51 51 50 50 50 49 48 47 45 45 45 44 42 40 40 39 38 34 34 33
## [47] 30 30 26 23 18 10 8 8 8 7 6 5 5 2 1 0 0 59 56 52 50 49 49
## [70] 48 47 42 42 41 41 41 39 38 37 36 36 35 34 34 33 33 33 33 29 27 27 26
## [93] 21 21 20 20 20 19 16 16 15 13 12 11 10 10 10 10 9 9 8 7 7 6 5
## [116] 5 5 4 3 2 0 0 0 0 0 59 59 58 58 58 56 55 54 54 54 54 53 53
## [139] 52 52 50 49 48 47 47 47 47 47 46 45 47 47 46 45 45 43 43 42 40 40 39
## [162] 38 38 37 37 37 35 35 34 32 28 27 27 26 25 25 25 23 23 23 12 11 10 10
## [185] 9 9 8 7 7 6 5 3 2 0 0 0 0 0 0 57 56 53 49 48 47 47 46
## [208] 46 44 44 42 42 41 40 39 39 35 34 34 33 31 30 30 30 27 27 25 25 24 22
## [231] 20 20 18 17 16 15 14 10 5 5 14 10 5 5 4 1 0 0 57 57 55 49 49
## [254] 47 46 46 45 45 44 44 42 40 38 36 34 34 30 28 26 25 12 8 8 4 4 3
## [277] 0 57 50 49 44 41 38 28 20 16 15 6 5 4 4 3 2 57 49 45 45 36 35
## [300] 34 45 36 35 34 32 28 25 25 24 19 17 14 10 8 1 59 56 49 49 46 45 41
## [323] 37 34 30 30 29 28 20 16 16 14 13 59 56 55 35 21 0 57 47 40 27 25 40
## [346] 40 29 15 46 29 12 59 55 40 21 10 51 48 38 36 30 29 24 24 24 23 23 18
## [369] 17 17 17 16 15 15 14 14 13 13 12 12 12 11 10 10 10 10 9 9 8 8 8
## [392] 8 7 7 6 6 6 5 5 5 5 5 4 4 4 3 3 3 3 3 3 2 1 1
## [415] 1 1 0 0 0 0 0 0 0 0 0 51 51 46 40 40 26 21 18 8 4 4 0
## [438] 59 55 54 53 50 47 45 43 42 42 39 37 37 37 36 34 33 33 32 31 30 28 26
## [461] 26 22 20 20 15 14 12 8 7 6 5 4 4 2 2 2 1 0 59 57 56 53 52
## [484] 50 49 48 47 46 44 42 42 40 38 30 25 18 18 17 13 13 11 9 8 5 1 1
## [507] 51 45 45 44 42 42 40 39 39 39 38 38 30 30 29 25 25 24 20 20 18 17 13
## [530] 12 10 5 4 3 3 1 1 0 0 0 58 56 55 53 52 51 50 49 46 40 40 38
## [553] 36 36 35 34 33 32 31 31 30 30 27 25 20 20 20 19 15 11 11 8 7 5 1
## [576] 0 0 0 58 56 56 55 54 53 52 50 47 45 45 44 42 42 40 40 40 39 37 36
## [599] 34 33 32 30 29 28 28 28 27 27 24 23 22 21 20 20 16 15 14 13 11 10 8
## [622] 7 4 0 59 58 54 54 52 51 50 49 47 45 44 41 41 41 39 39 39 38 37 36
## [645] 36 36 35 34 33 33 30 29 29 28 28 24 21 20 18 18 17 16 16 15 15 13 12
## [668] 10 9 6 6 5 5 5 3 1 0 0 0 0 0 59 59 58 57 57 56 55 54 52
## [691] 50 50 50 49 47 46 46 45 45 43 40 40 40 39 36 34 33 33 31 30 30 30 30
## [714] 30 28 23 23 22 22 22 21 20 19 18 17 16 14 12 11 10 10 8 7 6 4 1
## [737] 0 0 0 0 59 57 52 50 49 49 48 47 43 41 43 41 40 39 39 35 35 32 30
## [760] 29 28 28 26 25 24 24 22 21 20 20 19 19 13 13 12 12 12 11 11 9 9 6
## [783] 5 5 2 2 1 0 0 0 0 56 55 53 52 51 50 50 47 45 45 44 43 43 43
## [806] 41 39 37 35 34 33 32 31 30 30 30 29 27 27 25 25 24 23 23 22 22 20 18
## [829] 18 17 14 11 10 10 8 6 5 5 5 1 0 0 0 0 59 56 55 55 54 54 53
## [852] 52 51 49 45 41 40 40 40 39 38 36 34 32 30 24 23 20 19 19 19 15 14 8
## [875] 6 5 5 4 4 1 1 59 52 49 47 47 46 46 40 36 35 34 31 30 29 29 29
## [898] 27 26 26 25 25 25 25 24 23 21 19 19 18 17 17 16 16 16 16 16 16 15 13
## [921] 12 11 11 10 9 9 9 7 7 6 5 5 5 3 3 2 0 0 0 59 59 58 56
## [944] 55 55 55 54 53 50 50 47 47 46 46 45 45 45 42 41 41 40 40 40 40 34 33
## [967] 33 32 31 30 28 25 24 20 19 18 15 12 11 10 7 6 5 4 4 1 0 0 0
## [990] 0 0 59 56 53 52 51 50 48 44 42 41 40 40 40 39 37 37 34 33 32 32 29
## [1013] 29 28 24 24 19 19 19 17 15 11 10 10 10 10 10 10 9 9 9 5 3 3 58
## [1036] 54 54 53 53 53 51 50 46 46 46 41 36 32 30 29 26 23 12 11 6 4 3 2
## [1059] 0 0 56 47 44 40 38 36 30 29 25 24 23 8 1 0 0 58 52 50 48 45 45
## [1082] 44 39 39 38 36 36 36 34 34 33 30 29 21 20 18 18 16 12 7 6 4 0 57
## [1105] 52 50 45 35 35 30 28 27 24 24 19 17 4 55 49 38 38 28 27 7 52 42 35
## [1128] 28 23 51 40 40 37 22 11 5 53 36 32 22 15 0 47 41 12 38 35 35 35 34
## [1151] 34 34 34 34 34 34 34 30 30 30 30 30 30 30 30 28 28 26 25 24 24 24 24
## [1174] 22 18 18 14 13 12 12 10 10 9 9 8 8 6 5 5 4 3 3 2 2 2 1
## [1197] 1 1 0 0 0 59 58 57 50 48 43 41 40 38 35 34 30 30 26 24 23 20 20
## [1220] 13 12 11 10 6 0 57 50 42 40 39 34 33 32 30 28 28 23 23 20 18 17 15
## [1243] 14 13 10 4 2 0 0 59 55 52 51 49 49 47 46 45 45 42 39 38 38 36 30
## [1266] 28 23 22 20 17 16 15 11 10 10 10 8 5 5 2 0 0 58 58 57 56 55 55
## [1289] 53 52 51 50 50 48 48 44 44 40 35 30 28 27 26 24 23 23 22 18 16 12 10
## [1312] 8 8 6 6 5 2 0 0 0 57 56 54 54 53 53 51 50 50 48 45 44 44 42
## [1335] 40 40 40 37 36 32 32 30 30 29 28 27 26 25 20 20 19 18 18 17 17 10 10
## [1358] 8 6 6 3 3 2 1 0 0 0 59 58 58 56 56 54 50 50 48 47 46 46 44
## [1381] 44 44 42 42 40 40 40 39 39 38 37 37 34 33 31 28 27 24 22 21 20 19 15
## [1404] 15 14 11 11 10 10 10 10 10 10 8 7 3 3 3 3 0 59 58 57 56 55 55
## [1427] 55 54 53 50 45 43 43 42 41 41 40 40 40 40 39 39 36 33 33 32 30 30 29
## [1450] 28 25 22 19 18 15 12 11 9 8 5 4 4 3 2 56 55 54 53 53 52 51 51
## [1473] 49 46 41 40 40 38 38 37 35 35 35 35 33 32 31 30 29 27 26 25 23 23 20
## [1496] 19 18 17 14 13
##
## $hour
## [1] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 13 13
## [24] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [47] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 12 12 12 12 12 12
## [70] 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12
## [93] 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12
## [116] 12 12 12 12 12 12 12 12 12 12 11 11 11 11 11 11 11 11 11 11 11 11 11
## [139] 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11
## [162] 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11
## [185] 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 10 10 10 10 10 10 10 10
## [208] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [231] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 9 9 9 9 9
## [254] 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
## [277] 9 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7 7 7 7 7
## [300] 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 6 6 6 6 6 6 6
## [323] 6 6 6 6 6 6 6 6 6 6 6 5 5 5 5 5 5 4 4 4 4 4 3
## [346] 3 3 3 2 2 2 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0
## [369] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [392] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [415] 0 0 0 0 0 0 0 0 0 0 0 23 23 23 23 23 23 23 23 23 23 23 23
## [438] 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22
## [461] 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 21 21 21 21 21
## [484] 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21
## [507] 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20
## [530] 20 20 20 20 20 20 20 20 20 20 20 19 19 19 19 19 19 19 19 19 19 19 19
## [553] 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19
## [576] 19 19 19 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18
## [599] 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18
## [622] 18 18 18 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17
## [645] 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17
## [668] 17 17 17 17 17 17 17 17 17 17 17 17 17 17 16 16 16 16 16 16 16 16 16
## [691] 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16
## [714] 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16
## [737] 16 16 16 16 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [760] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [783] 15 15 15 15 15 15 15 15 15 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [806] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [829] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 13 13 13 13 13 13 13
## [852] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [875] 13 13 13 13 13 13 13 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12
## [898] 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12
## [921] 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 11 11 11 11
## [944] 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11
## [967] 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11
## [990] 11 11 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [1013] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 9
## [1036] 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
## [1059] 9 9 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7 7 7 7 7
## [1082] 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 6
## [1105] 6 6 6 6 6 6 6 6 6 6 6 6 6 5 5 5 5 5 5 5 4 4 4
## [1128] 4 4 3 3 3 3 3 3 3 2 2 2 2 2 2 1 1 1 0 0 0 0 0
## [1151] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1174] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1197] 0 0 0 0 0 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23
## [1220] 23 23 23 23 23 23 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22
## [1243] 22 22 22 22 22 22 22 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21
## [1266] 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 20 20 20 20 20 20
## [1289] 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20
## [1312] 20 20 20 20 20 20 20 20 20 19 19 19 19 19 19 19 19 19 19 19 19 19 19
## [1335] 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19
## [1358] 19 19 19 19 19 19 19 19 19 19 18 18 18 18 18 18 18 18 18 18 18 18 18
## [1381] 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18
## [1404] 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 17 17 17 17 17 17
## [1427] 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17
## [1450] 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 16 16 16 16 16 16 16 16
## [1473] 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16
## [1496] 16 16 16 16 16
##
## $mday
## [1] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [24] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [47] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [70] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [93] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [116] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [139] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [162] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [185] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [208] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [231] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [254] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [277] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [300] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [323] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [346] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [369] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [392] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [415] 15 15 15 15 15 15 15 15 15 15 15 14 14 14 14 14 14 14 14 14 14 14 14
## [438] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [461] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [484] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [507] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [530] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [553] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [576] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [599] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [622] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [645] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [668] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [691] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [714] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [737] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [760] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [783] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [806] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [829] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [852] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [875] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [898] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [921] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [944] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [967] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [990] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1013] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1036] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1059] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1082] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1105] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1128] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1151] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1174] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1197] 14 14 14 14 14 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1220] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1243] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1266] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1289] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1312] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1335] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1358] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1381] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1404] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1427] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1450] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1473] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1496] 13 13 13 13 13
##
## $mon
## [1] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [35] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [69] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [103] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [137] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [171] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [205] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [239] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [273] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [307] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [341] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [375] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [409] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [443] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [477] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [511] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [545] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [579] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [613] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [647] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [681] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [715] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [749] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [783] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [817] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [851] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [885] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [919] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [953] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [987] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1021] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1055] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1089] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1123] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1157] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1191] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1225] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1259] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1293] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1327] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1361] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1395] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1429] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1463] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1497] 3 3 3 3
##
## $year
## [1] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [18] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [35] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [52] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [69] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [86] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [103] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [120] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [137] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [154] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [171] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [188] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [205] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [222] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [239] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [256] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [273] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [290] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [307] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [324] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [341] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [358] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [375] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [392] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [409] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [426] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [443] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [460] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [477] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [494] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [511] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [528] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [545] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [562] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [579] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [596] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [613] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [630] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [647] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [664] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [681] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [698] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [715] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [732] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [749] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [766] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [783] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [800] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [817] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [834] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [851] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [868] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [885] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [902] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [919] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [936] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [953] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [970] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [987] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1004] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1021] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1038] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1055] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1072] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1089] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1106] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1123] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1140] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1157] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1174] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1191] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1208] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1225] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1242] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1259] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1276] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1293] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1310] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1327] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1344] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1361] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1378] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1395] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1412] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1429] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1446] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1463] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1480] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1497] 116 116 116 116
##
## $wday
## [1] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [35] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [69] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [103] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [137] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [171] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [205] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [239] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [273] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [307] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [341] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [375] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [409] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [443] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [477] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [511] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [545] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [579] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [613] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [647] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [681] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [715] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [749] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [783] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [817] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [851] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [885] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [919] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [953] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [987] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [1021] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [1055] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [1089] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [1123] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [1157] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [1191] 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1225] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1259] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1293] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1327] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1361] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1395] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1429] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1463] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1497] 3 3 3 3
##
## $yday
## [1] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [18] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [35] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [52] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [69] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [86] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [103] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [120] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [137] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [154] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [171] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [188] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [205] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [222] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [239] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [256] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [273] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [290] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [307] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [324] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [341] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [358] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [375] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [392] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [409] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [426] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [443] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [460] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [477] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [494] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [511] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [528] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [545] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [562] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [579] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [596] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [613] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [630] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [647] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [664] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [681] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [698] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [715] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [732] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [749] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [766] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [783] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [800] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [817] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [834] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [851] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [868] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [885] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [902] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [919] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [936] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [953] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [970] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [987] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1004] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1021] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1038] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1055] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1072] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1089] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1106] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1123] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1140] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1157] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1174] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1191] 104 104 104 104 104 104 104 104 104 104 104 103 103 103 103 103 103
## [1208] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1225] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1242] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1259] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1276] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1293] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1310] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1327] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1344] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1361] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1378] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1395] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1412] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1429] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1446] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1463] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1480] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1497] 103 103 103 103
##
## $isdst
## [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [35] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [69] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [103] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [137] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [171] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [205] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [239] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [273] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [307] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [341] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [375] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [409] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [443] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [477] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [511] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [545] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [579] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [613] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [647] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [681] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [715] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [749] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [783] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [817] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [851] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [885] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [919] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [953] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [987] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1021] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1055] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1089] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1123] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1157] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1191] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1225] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1259] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1293] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1327] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1361] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1395] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1429] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1463] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1497] 0 0 0 0
##
## $zone
## [1] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [12] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [23] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [34] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [45] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [56] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [67] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [78] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [89] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [100] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [111] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [122] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [133] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [144] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [155] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [166] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [177] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [188] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [199] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [210] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [221] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [232] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [243] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [254] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [265] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [276] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [287] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [298] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [309] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [320] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [331] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [342] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [353] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [364] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [375] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [386] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [397] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [408] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [419] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [430] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [441] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [452] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [463] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [474] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [485] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [496] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [507] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [518] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [529] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [540] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [551] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [562] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [573] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [584] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [595] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [606] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [617] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [628] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [639] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [650] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [661] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [672] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [683] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [694] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [705] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [716] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [727] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [738] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [749] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [760] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [771] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [782] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [793] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [804] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [815] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [826] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [837] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [848] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [859] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [870] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [881] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [892] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [903] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [914] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [925] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [936] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [947] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [958] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [969] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [980] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [991] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1002] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1013] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1024] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1035] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1046] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1057] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1068] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1079] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1090] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1101] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1112] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1123] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1134] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1145] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1156] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1167] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1178] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1189] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1200] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1211] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1222] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1233] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1244] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1255] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1266] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1277] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1288] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1299] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1310] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1321] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1332] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1343] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1354] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1365] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1376] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1387] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1398] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1409] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1420] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1431] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1442] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1453] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1464] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1475] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1486] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1497] "CST" "CST" "CST" "CST"
##
## $gmtoff
## [1] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [12] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [23] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [34] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [45] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [56] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [67] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [78] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [89] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [100] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [111] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [122] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [133] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [144] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [155] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [166] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [177] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [188] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [199] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [210] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [221] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [232] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [243] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [254] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [265] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [276] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [287] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [298] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [309] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [320] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [331] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [342] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [353] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [364] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [375] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [386] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [397] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [408] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [419] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [430] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [441] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [452] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [463] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [474] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [485] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [496] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [507] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [518] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [529] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [540] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [551] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [562] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [573] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [584] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [595] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [606] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [617] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [628] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [639] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [650] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [661] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [672] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [683] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [694] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [705] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [716] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [727] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [738] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [749] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [760] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [771] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [782] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [793] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [804] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [815] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [826] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [837] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [848] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [859] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [870] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [881] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [892] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [903] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [914] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [925] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [936] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [947] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [958] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [969] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [980] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [991] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1002] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1013] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1024] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1035] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1046] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1057] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1068] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1079] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1090] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1101] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1112] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1123] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1134] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1145] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1156] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1167] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1178] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1189] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1200] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1211] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1222] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1233] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1244] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1255] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1266] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1277] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1288] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1299] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1310] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1321] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1332] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1343] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1354] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1365] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1376] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1387] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1398] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1409] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1420] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1431] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1442] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1453] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1464] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1475] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1486] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1497] 28800 28800 28800 28800
##
## attr(,"tzone")
## [1] "" "CST" "CDT"#difftime
Sys.time() - appledaily$dt[1]## Time difference of 1019.104 days#convert timestamp to datetime
tm = as.integer(unclass(as.POSIXct(Sys.time())))
as.POSIXct(tm,origin='1970-01-01',tz = 'Japan')## [1] "2019-01-29 18:01:59 JST"as.POSIXct(tm,origin='1970-01-01',tz = 'Asia/Taipei')## [1] "2019-01-29 17:01:59 CST"lubridate package
#install.packages('lubridate')
library(lubridate)##
## Attaching package: 'lubridate'## The following object is masked from 'package:base':
##
## date# Extracting information
now_date = now()
year(now_date)## [1] 2019month(now_date,label=T)## [1] 1
## Levels: 1 < 2 < 3 < 4 < 5 < 6 < 7 < 8 < 9 < 10 < 11 < 12day(now_date)## [1] 29hour(now_date)## [1] 17minute(now_date)## [1] 2second(now_date)## [1] 0.04741192wday(now_date,label=T)## [1] 二
## Levels: 日 < 一 < 二 < 三 < 四 < 五 < 六# Parsing dates and times
ymd(20190129)## [1] "2019-01-29"mdy(01292019)## [1] "2019-01-29"dmy(29012019)## [1] "2019-01-29"ymd('2019/01/29')## [1] "2019-01-29"ymd('2019.01.29')## [1] "2019-01-29"ymd('2019.01.29')## [1] "2019-01-29"ymd_hm('2019/1/29 14:40',tz='Asia/Taipei')## [1] "2019-01-29 14:40:00 CST"with_tz(ymd_hm('2019/1/29 14:40',tz='Asia/Taipei'),tzone='America/Los_Angeles')## [1] "2019-01-28 22:40:00 PST"appledaily$dt = ymd_hm(appledaily$dt)## Warning: All formats failed to parse. No formats found.擷取點擊數中數值部分
#方法一：利用sub函數取代
tmp = sub("人氣\\(","",appledaily$clicked[1])
tmp2 = sub("\\)","",tmp)
click = as.numeric(tmp2)
clicked = sub('\\)','',sub('人氣\\(','',appledaily$clicked))
clicked = as.integer(clicked)
head(clicked)## [1] 1754 0 0 0 311 24#方法二：使用stringr套件的str_match()
library(stringr)
?str_match
clicked = as.integer(str_match(appledaily$clicked,"人氣\\((\\d+)\\)")[,2])
appledaily$clicked = clicked
head(clicked)## [1] 1754 0 0 0 311 24其他常見字串處理函式
#grep() ==> return index
test_str = c('abcd','bcd','cde')
grep('a',test_str)## [1] 1test_str[grep('a',test_str)]## [1] "abcd"appledaily[grep('中國',appledaily$title[1:5]),]## content
## 2 \n 澳洲一名就讀雪梨大學的華裔博士生，日前公開一段燒毀中國護照的影片，還大肆批評留澳學生是一群「留學豬」。消息傳出後，這名博士生立刻被大陸網友起底。 據悉，該博士生姓名為吳維，正在雪梨大學攻讀金融學博士，同時在該校任教，並於去年加入澳洲籍。該博士生的微博名為「Pekojima」，該賬號從2012年開始一直處於活躍狀態。他稱自己為「澳洲公民」、「雪梨大學商學院全獎」、「金融系 Ph.D.」、「本系必修課head tutor」。但此微博現已被刪除。他也曾在微博上諷刺中國留學生的智商，稱他們「要花錢找論文代寫」，並侮辱留學生為「留學豬」。 英國《每日郵報》報導稱，雪梨大學已開始調查他焚燒中國護照一事。（大陸中心／綜合報導） 更多國際新聞請進蘋果繞著地球爆 \n 翻攝網路翻攝網路 \n googletag.cmd.push(function() {googletag.display('teadstv');})\n googletag.cmd.push(function() {googletag.display('goldenhorse');})\n googletag.cmd.push(function() {googletag.display('textlink');})\n 有話要說 投稿「即時論壇」\n
## title dt category clicked
## 2 拿到澳洲護照後 他放火燒中國護照 <NA> 國際 0#grepl() ==> return boolean
grepl('a',test_str)## [1] TRUE FALSE FALSEtest_str[grepl('a',test_str)]## [1] "abcd"#strsplit() ==> 字串分割
splited = strsplit(c('abc-def','ddd-ggg'),'-')
splited## [[1]]
## [1] "abc" "def"
##
## [[2]]
## [1] "ddd" "ggg"class(splited)## [1] "list"### 取出list裡面部分元素
sapply(splited,function(e){e[1]})## [1] "abc" "ddd"unlist(splited)[seq(from=1,to=4,by=2)]## [1] "abc" "ddd"#substring() ==> 取得部份字串
test_s = 'abcdef'
nchar(test_s)## [1] 6substring(test_s,2,nchar('abcdef')-1)## [1] "bcde"替換類別名稱
names(table(appledaily$category))## [1] "3C" "財經"
## [3] "地產" "動物"
## [5] "國際" "國際\",\"LA\",\"SF\",\"NY\",\"US"
## [7] "國際\",\"SF\",\"US" "論壇"
## [9] "社會" "生活"
## [11] "時尚" "搜奇"
## [13] "體育" "娛樂"
## [15] "正妹" "政治"appledaily$category[appledaily$category == "國際\",\"LA\",\"SF\",\"NY\",\"US"] = '國際'
appledaily$category[appledaily$category == "國際\",\"SF\",\"US"] = '國際'
names(table(appledaily$category))## [1] "3C" "財經" "地產" "動物" "國際" "論壇" "社會" "生活" "時尚" "搜奇"
## [11] "體育" "娛樂" "正妹" "政治"儲存處理過的檔案
applenews = appledaily
#save(applenews,file = 'Statistics/applenews.RData')遺失值處理(missing value)
applenews = appledaily
idx= sample(1:nrow(applenews),size=30)
applenews[idx,'clicked'] = NA
#找尋遺失值
is.na(applenews)## content title dt category clicked
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## 1500 FALSE FALSE TRUE FALSE FALSEsum(is.na(applenews$clicked))## [1] 30#移除missing value
complete.cases(applenews)## [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [12] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [1497] FALSE FALSE FALSE FALSEcleaned_data = applenews[complete.cases(applenews),]
str(cleaned_data)## 'data.frame': 0 obs. of 5 variables:
## $ content : chr
## $ title : chr
## $ dt : 'POSIXct' num(0)
## - attr(*, "tzone")= chr "UTC"
## $ category: chr
## $ clicked : int#以全體平均填補
applenews = appledaily
applenews[idx,'clicked'] = NA
mean_clicked = as.integer(mean(applenews$clicked,na.rm=T))
applenews$clicked[is.na(applenews$clicked)] = mean_clicked
sum(is.na(applenews$clicked))## [1] 0#以類別平均填補
applenews = appledaily
applenews[idx,'clicked'] = NA
cat_means = tapply(applenews$clicked,applenews$category,function(e){as.integer(mean(e,na.rm=T))})
cat_means## 3C 財經 地產 動物 國際 論壇 社會 生活 時尚 搜奇 體育 娛樂
## 3954 5197 6900 4821 9004 5846 30027 11575 6880 12254 17070 31600
## 正妹 政治
## 46888 12016for(i in 1:length(cat_means)){
applenews[applenews$category == names(cat_means)[i] & is.na(applenews$clicked),'clicked'] = cat_means[i]
}
sum(is.na(applenews$clicked))## [1] 0package dplyr
- 類SQL語法,select,filter,arrange,mutate…
- Chaining %>%, debug方便
cheat sheet
setwd('~/lecture/riii')
load('Statistics/applenews.RData')
str(applenews)## 'data.frame': 1500 obs. of 5 variables:
## $ content : chr "\n (更新:新增影片)想要透過刮刮樂彩券一夕致富，但他卻用錯方法！台中市一名"| __truncated__ "\n 澳洲一名就讀雪梨大學的華裔博士生，日前公開一段燒毀中國護照的影片，還"| __truncated__ "\n 【行銷專題企劃】房價高高在上，沒錢買房沒關係，但你認為自己是聰明的租"| __truncated__ "\n 本內容由中央廣播電臺提供 美國國防部長卡特(Ash Carter)今天(15日"| __truncated__ ...
## $ title : chr "【更新】搶2.2萬彩券刮中1.4萬 沒發財還得入獄" "拿到澳洲護照後 他放火燒中國護照" "【特企】房市大追擊- 租屋這些事情要小心" "【央廣RTI】美菲軍演 美防長南海登艦" ...
## $ dt : POSIXct, format: "2016-04-15 14:32:00" "2016-04-15 14:32:00" ...
## $ category: chr "社會" "國際" "地產" "國際" ...
## $ clicked : int 1754 0 0 0 311 24 20 314 27 308 ...applenews = applenews[,-1]
#install.packages('dplyr')
library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:lubridate':
##
## intersect, setdiff, union## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union#原先R 提供的過濾功能
head(applenews[applenews$category == "娛樂",])## title dt category
## 16 澎恰恰收女弟子 拱當台灣第一名伶 2016-04-15 14:17:00 娛樂
## 21 【唱新聞】詐騙嗎？R.O.C.有CHINA但不是CHINA 2016-04-15 14:00:00 娛樂
## 32 白曉燕命案19年了 白冰冰「不能忘」 2016-04-15 13:49:00 娛樂
## 40 好萊塢男神好威 女友再當高齡產婦 2016-04-15 13:40:00 娛樂
## 47 隋棠帶兒遠征南台灣 吃成膨皮母子檔 2016-04-15 13:30:00 娛樂
## 50 伊勢谷友介掰了長澤雅美 半同居小16歲辣模 2016-04-15 13:23:00 娛樂
## clicked
## 16 1749
## 21 11696
## 32 3329
## 40 4307
## 47 4651
## 50 5141#dplyr 的過濾功能
head(filter(applenews, category == "娛樂"))## title dt category
## 1 澎恰恰收女弟子 拱當台灣第一名伶 2016-04-15 14:17:00 娛樂
## 2 【唱新聞】詐騙嗎？R.O.C.有CHINA但不是CHINA 2016-04-15 14:00:00 娛樂
## 3 白曉燕命案19年了 白冰冰「不能忘」 2016-04-15 13:49:00 娛樂
## 4 好萊塢男神好威 女友再當高齡產婦 2016-04-15 13:40:00 娛樂
## 5 隋棠帶兒遠征南台灣 吃成膨皮母子檔 2016-04-15 13:30:00 娛樂
## 6 伊勢谷友介掰了長澤雅美 半同居小16歲辣模 2016-04-15 13:23:00 娛樂
## clicked
## 1 1749
## 2 11696
## 3 3329
## 4 4307
## 5 4651
## 6 5141#and/or
head(filter(applenews, category == "娛樂" & clicked > 10000))## title dt
## 1 【唱新聞】詐騙嗎？R.O.C.有CHINA但不是CHINA 2016-04-15 14:00:00
## 2 徐佳瑩開唱前驚傳失聲 急診照曝光 2016-04-15 13:08:00
## 3 【更新】《太陽》完美結局 沉船灣之吻收視最熱 2016-04-15 12:29:00
## 4 宋慧喬愛國拒代言 台大教授批韓軍「應被唾棄」 2016-04-15 11:52:00
## 5 【請回答】六月李易對質實況 出軌X次說清楚！ 2016-04-15 11:40:00
## 6 劉愷威被問楊冪超囧 擠不出上次何時見 2016-04-15 10:30:00
## category clicked
## 1 娛樂 11696
## 2 娛樂 11588
## 3 娛樂 27010
## 4 娛樂 10455
## 5 娛樂 88386
## 6 娛樂 10478head(filter(applenews,category == '娛樂' , clicked > 10000))## title dt
## 1 【唱新聞】詐騙嗎？R.O.C.有CHINA但不是CHINA 2016-04-15 14:00:00
## 2 徐佳瑩開唱前驚傳失聲 急診照曝光 2016-04-15 13:08:00
## 3 【更新】《太陽》完美結局 沉船灣之吻收視最熱 2016-04-15 12:29:00
## 4 宋慧喬愛國拒代言 台大教授批韓軍「應被唾棄」 2016-04-15 11:52:00
## 5 【請回答】六月李易對質實況 出軌X次說清楚！ 2016-04-15 11:40:00
## 6 劉愷威被問楊冪超囧 擠不出上次何時見 2016-04-15 10:30:00
## category clicked
## 1 娛樂 11696
## 2 娛樂 11588
## 3 娛樂 27010
## 4 娛樂 10455
## 5 娛樂 88386
## 6 娛樂 10478head(filter(applenews, category == "娛樂" | clicked > 10000))## title
## 1 又要下雨了 中南部6縣市大雨特報
## 2 澎恰恰收女弟子 拱當台灣第一名伶
## 3 【驚險有片】BMW撞翻撞公車 後方機車神穿越
## 4 【唱新聞】詐騙嗎？R.O.C.有CHINA但不是CHINA
## 5 蔡英文、林全人事公佈記者會 14:30【蘋果Live】同步直播
## 6 白曉燕命案19年了 白冰冰「不能忘」
## dt category clicked
## 1 2016-04-15 14:19:00 生活 12347
## 2 2016-04-15 14:17:00 娛樂 1749
## 3 2016-04-15 14:12:00 社會 11886
## 4 2016-04-15 14:00:00 娛樂 11696
## 5 2016-04-15 13:50:00 政治 12425
## 6 2016-04-15 13:49:00 娛樂 3329#篩選多個類別
head(filter(applenews, category %in% c("娛樂", "社會")))## title dt
## 1 【更新】搶2.2萬彩券刮中1.4萬 沒發財還得入獄 2016-04-15 14:32:00
## 2 同居人女兒熟睡 淫男伸狼爪 2016-04-15 14:22:00
## 3 澎恰恰收女弟子 拱當台灣第一名伶 2016-04-15 14:17:00
## 4 【驚險有片】BMW撞翻撞公車 後方機車神穿越 2016-04-15 14:12:00
## 5 【唱新聞】詐騙嗎？R.O.C.有CHINA但不是CHINA 2016-04-15 14:00:00
## 6 九巡翁霸坐展售車？ 原因好心酸 2016-04-15 13:52:00
## category clicked
## 1 社會 1754
## 2 社會 1076
## 3 娛樂 1749
## 4 社會 11886
## 5 娛樂 11696
## 6 社會 4582#原先R的欄位選取
head(applenews[, c("category","clicked")])## category clicked
## 1 社會 1754
## 2 國際 0
## 3 地產 0
## 4 國際 0
## 5 時尚 311
## 6 財經 24#dplyr 的欄位選取
#選擇列舉出的欄位
head(select(applenews,category,clicked))## category clicked
## 1 社會 1754
## 2 國際 0
## 3 地產 0
## 4 國際 0
## 5 時尚 311
## 6 財經 24#選擇從category~clicked欄位
head(select(applenews,dt:clicked))## dt category clicked
## 1 2016-04-15 14:32:00 社會 1754
## 2 2016-04-15 14:32:00 國際 0
## 3 2016-04-15 14:31:00 地產 0
## 4 2016-04-15 14:30:00 國際 0
## 5 2016-04-15 14:28:00 時尚 311
## 6 2016-04-15 14:28:00 財經 24#選擇欄位名稱含有click字串的欄位
head(select(applenews,contains('click')))## clicked
## 1 1754
## 2 0
## 3 0
## 4 0
## 5 311
## 6 24##iris - selected helpers
head(select(iris,starts_with("Sepal")))## Sepal.Length Sepal.Width
## 1 5.1 3.5
## 2 4.9 3.0
## 3 4.7 3.2
## 4 4.6 3.1
## 5 5.0 3.6
## 6 5.4 3.9head(select(iris,ends_with("Length")))## Sepal.Length Petal.Length
## 1 5.1 1.4
## 2 4.9 1.4
## 3 4.7 1.3
## 4 4.6 1.5
## 5 5.0 1.4
## 6 5.4 1.7?matches## Help on topic 'matches' was found in the following packages:
##
## Package Library
## tidyselect /Library/Frameworks/R.framework/Versions/3.5/Resources/library
## dplyr /Library/Frameworks/R.framework/Versions/3.5/Resources/library
##
##
## Using the first match ...#想同時filter 和 select
head(filter(select(applenews,category:clicked),category == '娛樂'))## category clicked
## 1 娛樂 1749
## 2 娛樂 11696
## 3 娛樂 3329
## 4 娛樂 4307
## 5 娛樂 4651
## 6 娛樂 5141#使用Chaining
select(applenews,category:clicked) %>%
filter(category == '娛樂') %>%
head()## category clicked
## 1 娛樂 1749
## 2 娛樂 11696
## 3 娛樂 3329
## 4 娛樂 4307
## 5 娛樂 4651
## 6 娛樂 5141applenews %>%
select(category:clicked) %>%
filter(category == '娛樂') %>%
head()## category clicked
## 1 娛樂 1749
## 2 娛樂 11696
## 3 娛樂 3329
## 4 娛樂 4307
## 5 娛樂 4651
## 6 娛樂 5141